Choice and opportunity on the welfare care market: An experimental evaluation of decision‐making in a context of individual funding policy

2021 ◽  
Author(s):  
Wouter Dursin ◽  
Toon Benoot ◽  
Rudi Roose ◽  
Bram Verschuere
Keyword(s):  
Decision Making ◽  
Experimental Evaluation ◽  
Funding Policy ◽  
Individual Funding

scholarly journals The creation of performance funding in Michigan: Partnership, promotion and points

2016 ◽  
Vol 24 ◽  
pp. 122 ◽  
Author(s):  
Renata Opoczynski
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Financial Incentives ◽  
Performance Funding ◽  
Measure Data ◽  
Funding Policy ◽  
Funding Policies ◽  
Decision Making Processes ◽  
The Creation ◽  
Education Administrators

While accountability in higher education has been a topic of debate for decades, in recent years the discussions have shifted to emphasize efficiency and economic measures of success. A prominent example of this accountability movement is the increase in popularity of performance funding policies. One of the most recent states to implement performance funding is Michigan, which began their performance funding policy in 2012. This study explored the creation and implementation of the state of Michigan’s performance funding policy. In particular, the decision making processes institutional administrators and state leaders engaged in while designing, promoting, and implementing the policy. Using a case study design and interviewing both higher education administrators and state leaders who were involved in the creation of the performance funding policy in Michigan yielded five large trends: 1) The importance of advocacy coalitions; 2) Securing support through a focus on higher education affordability; 3) Concerns with how to measure data and compare institutions; 4) Insufficient financial incentives; and 5) Limited impact on institutional decision making.

scholarly journals Human-Machine Cooperative Decision Making Outperforms Individualism and Autonomy

2021 ◽  
Author(s):  
Simon Rothfuß ◽  
Maximilian Wörner ◽  
Jairo Inga ◽  
Andrea Kiesel ◽  
Sören Hohmann
Keyword(s):  
Game Theory ◽  
Decision Making ◽  
Experimental Design ◽  
Experimental Evaluation ◽  
Added Value ◽  
Negotiation Theory ◽  
Decision Level ◽  
Decision Making Models ◽  
Cooperation Partners ◽  
Cooperative Decision Making

<div>The experiment reported in this paper provides a first experimental evaluation of human-machine cooperation on decision level: It explicitly focuses on the interaction of human and machine in cooperative decision making situations for which a suitable experimental design is introduced. Furthermore, it challenges conventional leader-follower approaches by comparing them to newly proposed automation designs based on cooperative decision making models. These models originate from negotiation theory and game theory and allow for an investigation of cooperative decision making between equal partners. This equality is motivated by similar approaches on the action level of human-machine cooperation. <br></div><div>The experiment’s results indicate an added value of the proposed automation designs in terms of objective cooperative performance as well as human trust in and satisfaction with the cooperation. Hence, the experiment yields the same insight on decision level as already observed on action level: it may be beneficial to design machines as equal cooperation partners and in accordance to models of emancipated human-machine cooperation.</div>

scholarly journals Consumer Attitudes toward News Delivering: An Experimental Evaluation of the Use and Efficacy of Personalized Recommendations

Information ◽  
2020 ◽  
Vol 11 (7) ◽  
pp. 350
Author(s):  
Paula Viana ◽  
Márcio Soares ◽  
Rita Gaio ◽  
Amilcar Correia
Keyword(s):  
Decision Making ◽  
Experimental Evaluation ◽  
Consumer Attitudes ◽  
Consumer Decision Making ◽  
Reading Habits ◽  
Significant Preference ◽  
Perceived Satisfaction ◽  
The Impact ◽  
User Location ◽  
Small Consumption

This paper presents an experiment on newsreaders’ behavior and preferences on the interaction with online personalized news. Different recommendation approaches, based on consumption profiles and user location, and the impact of personalized news on several aspects of consumer decision-making are examined on a group of volunteers. Results show a significant preference for reading recommended news over other news presented on the screen, regardless of the chosen editorial layout. In addition, the study also provides support for the creation of profiles taking into consideration the evolution of user’s interests. The proposed solution is valid for users with different reading habits and can be successfully applied even to users with small consumption history. Our findings can be used by news providers to improve online services, thus increasing readers’ perceived satisfaction.

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